Publications by authors named "Kefan Qiu"

Article Synopsis
  • The study aimed to combine Granger causal analysis (GCA) and amplitude of low-frequency fluctuation (ALFF) to investigate changes in effective connectivity (EC) in patients with acute ischemic stroke (AIS) after mechanical thrombectomy.
  • Researchers analyzed resting-state fMRI data from 43 AIS patients and 37 healthy controls, focusing on ALFF and EC differences while also considering each patient's prognosis and perfusion levels.
  • Results showed significant ALFF changes in specific brain areas and highlighted notable EC differences in poorly perfused patients, with altered connectivity patterns indicating functional remodeling in brain pathways involved in stroke recovery.
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Dipeptidyl-peptidase-like protein 6 (DPPX) antibody-mediated encephalitis is a rare type of autoimmune encephalitis (AE), which mainly manifests as diarrhea accompanied by weight loss, cognitive decline, epileptic seizures, and even psychiatric symptoms. Remarkably, it is also reported to be associated with tumors, predominantly B-cell lymphoma. Overall, the AE remains uncharacterized clinically and its long-term prognosis remains elusive.

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Ultralong organic phosphorescence (UOP) materials have attracted considerable attention in recent years. Herein, a new type of flexible films is fabricated by doping amphipathic pyrene tetrasulfonic acid sodium salts into amorphous poly(vinyl alcohol) matrix, which enables the realization of color-tunable UOP spanning from orange-red to green after excitation light is switched off. Interestingly, precise control of the proportion of isolated-molecular and aggregated-state phosphorescence is demonstrated for colorful afterglow using photo-activation.

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Glioma is one of the most fatal primary brain tumors, and it is well-known for its difficulty in diagnosis and management. Medical imaging techniques such as magnetic resonance imaging (MRI), positron emission tomography (PET), and spectral imaging can efficiently aid physicians in diagnosing, treating, and evaluating patients with gliomas. With the increasing clinical records and digital images, the application of artificial intelligence (AI) based on medical imaging has reduced the burden on physicians treating gliomas even further.

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